Data Releases

This data set describes nuclear microsatellite genotypes derived from twelve autosomal loci (6AB, Aph02, Aph08, Aph19, Aph23, Bca10, Bca11, Hhi5, Sfi11, Smo07, Smo09, and CRG), and two Z-linked microsatellite loci (Bca4 and Smo1). A total of 111 Long-tailed Ducks were examined for this genotyping with samples coming from the two primary breeding locales within Alaska (Arctic Coastal Plain of Alask

These data are the raw data collected from satellite radio-collars between1985-1996. The collars were worn by adult female polar bears ranging within the Chukchi Sea polar bear subpopulation. The locations of bears were determined by the ARGOS System on-board the collar and were transmitted via the ARGOS system once every 3 days.

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center and the U.S. Army Corps of Engineers Field Research Facility of Duck, NC collaborated to gather alongshore ground-based lidar beach topography at Fire Island, NY. This high-resolution elevation dataset was collected on April 1, 2014, and is part of the USGS\'s ongoing beach monitoring effort under Hurricane Sandy Suppleme

These mosaics, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provide lidar-derived first-surface and bare-earth topography for the Big Sandy Creek Unit of Big Thicket National Preserve in Texas. Elevation measurements were acquired by the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B) on January 19, 21, 22, and 30, 2014, in coop

The spring 2015 mainland sea otter count began on 2 May and wasn't completed until 2 July. The delay in finishing the census was due primarily to limited availability of the survey plane (because of the need for the plane during the oil spill in the Refugio State Beach area). Overall viewing conditions this year were more favorable than those during the 2014 spring census (View Score = 2.6 vs.

This mosaic, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides lidar-derived submerged topography for a portion of the submerged environs of Saint Croix, U.S. Virgin Islands. Elevation measurements were acquired by the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B) on March 11, 19, and 21, 2014, in cooperation with the Nati

U.S. Geological Survey, in cooperation with Miami-Dade County, performed a sequential, aquifer stress test from August 15 to October 12, 2011, on the Floridan aquifer system at the North District Wastewater Treatment Plant, in Miami-Dade County, Florida. Miami-Dade County stressed the Floridan aquifer system with four municipal injection wells at the North District Wastewater Treatment Plant. In

U.S. Geological Survey scientists, funded by the Climate and Land Use Change Research and Development Program, developed a dataset of 2006 and 2011 land use and land cover (LULC) information for selected 100-km2 sample blocks within 29 EPA Level 3 ecoregions across the conterminous United States. The data was collected for validation of new and existing national scale LULC datasets developed from

Crocker Reef was the site of an integrated reefscape characterization effort focused on calcification and related biogeochemical processes as part of the USGS Coral Reef Ecosystem Study (CREST) project. This effort included two intensive seasonal sampling trips to capture summer (July 8 to 17, 2014) and winter (January 29 to February 5, 2015) conditions. This data release represents water column m

This dataset includes information collected from “ecological process monitoring stations� located across the western basin of Lake Erie (originating at the Maumee River and reaching as far east as the Bass Islands). Nine worksheets are included in this file, of which 1 is a meta-data sheet that describes the variable names and purpose of the other sheets. Included herein is th

Accurate, complete fuels data are critical for making fuel management decisions and for predicting fire behavior and fire effects. A fuel photo series is a useful reference that allows natural resource managers to quickly quantify fuel and vegetation properties by comparing on site conditions to a series of photos showing a range of calculated fuel loads within a similar vegetative community. Whil

Common-offset GPR surveys were conducted with a Sensors and Software 500-MHz Pulse Ekko Pro system. We collected data from the ground, towed behind a researcher on skis or snowmobile, and from the air, strapped underneath a helicopter. All of the profiles are linked to coincident GPS observations. Coincident in-situ data is provided for calibration, and may be composed of any of the following: sn